Alex Kuefler

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Reinforcement Learning — 12 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it

Whom Alex Kuefler trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Eric R. Ziegel
2. Pieter Abbeel
3. Dean A. Pomerleau
4. Tamer Basar
5. Martin Treiber
6. John Schulman
7. Stéphane Ross
8. Geoffrey E. Hinton
9. Andrew Y. Ng
10. Trevor J. Hastie

Who trusts Alex Kuefler overall

1. Nachiket Deo
2. Edouard Leurent
3. Yunzhu Li
4. Mohan Manubhai Trivedi
5. Xin Li
6. Meixin Zhu
7. Andrey Rudenko
8. Ziyun Wang
9. Mark Pfeiffer
10. Tianyang Zhao

Papers from Alex Kuefler's perspective

Ordered by how strongly the researchers Alex Kuefler trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Imitating driver behavior with generative adversarial networks (2017) — 448 citations